Artificial Intelligence and Automation for Smart Systems AIASS

About

The integration of artificial intelligence (AI) and automation is transforming modern smart systems across multiple disciplines, enhancing efficiency, precision, and sustainability. The “Artificial Intelligence and Automation for Smart Systems” symposium brings together researchers, engineers, designers, and industry experts to discuss the transformative role of AI and automation in modern engineering, design and industrial processes.

This event will explore advancements in AI-driven environmental monitoring, pollution control, and energy-efficient automation to enhance sustainability. Topics will also cover automation and robotics innovations in electric vehicles and industrial applications, improving efficiency and operational excellence. The integration of AI in electrical and electronics engineering, control systems, and IoT-driven solutions will be highlighted to showcase cutting-edge smart technologies. Experts will delve into the role of cybersecurity and data protection in AI-enabled systems, ensuring safety and reliability. Additionally, immersive technologies like AR/VR and imaging intelligence will be examined for their applications in design visualization and collaboration. Computational advancements in materials engineering, including AI-driven simulation and processing, will be a key area of focus. The symposium will also address digital twins, big data analytics, and AI-driven chemical process optimization for improved industrial performance. Lastly, discussions on Lean Six Sigma, operations excellence, and AI-powered bioprocess engineering will provide insights into enhancing productivity and innovation.

Through interdisciplinary collaboration, this symposium aims to explore cutting-edge advancements in AI-driven automation, intelligent systems, and data-driven technologies to enhance efficiency, sustainability, and innovation across various engineering, design and industrial domains.

The topics of AIASS

The topics of AIASS include, but is not limited to:

  • Artificial Intelligence-Driven in Environmental Monitoring and Pollution Control
  • Automation, Robotics, and Electrical Vehicle Innovations
  • Artificial Intelligence-Driven Advancements in Electrical and Electronics
  • Cybersecurity and Data Protection
  • Advanced Control System
  • IoT-Driven Innovations in Engineering
  • Imaging and Visual Intelligence
  • Smart Communication Networks
  • Artificial Intelligence in Materials Simulation and Processing
  • Integrated Computational Materials Engineering
  • Immersive Technologies (AR/VR) in Design Visualization and Collaboration
  • Chemical Process Optimization and Automation
  • Intensified Processes with Artificial Intelligence and Machine Learning
  • Intelligent Systems in Bioprocess Engineering
  • Energy-Efficient Automation in Industrial Processes
  • Digital Twins in Process and Chemical Engineering
  • Big Data Analytics for Process Improvement
  • Artificial Intelligence and Data Science in Industrial Systems
  • Lean Six Sigma and Operations Excellence